Haritha Vellampalli Email and Phone Number
Seasoned Data Scientist with over five years of experience, adept in delivering high-impact machine learning and analytical solutions that have driven multimillion-dollar value for businesses. Proficient at translating complex data into actionable business insights and narratives, I leverage continuous learning and storytelling to enhance business strategies. At GM Financial, I contribute to their North American operations by optimizing resale pricing strategies and developing predictive models that are set to significantly reduce credit losses and boost profits. My efforts include employing clustering, inference and predictive modeling for pricing improvements, creating sophisticated analytical dashboards, and streamlining data pipeline processes.Previously, I delivered advanced predictive and recommendation solutions at my time working on the pace man app and contributed to the development of a pioneering Human Activity Recognition system during my research tenure. My background also includes enhancing software functionalities at ADP Inc through data analytics and automation.I hold advanced degrees in Computer Science with a focus on AI & ML from The University of Texas and Data Analytics from Dublin Institute of Technology, along with a technical arsenal encompassing Python, R, SQL, and various data science tools and libraries.My career is marked by a commitment to innovation, as evidenced by my work and thesis using machine learning, and a passion for community service, demonstrated by my volunteering efforts and recognition at key industry conferences.Tech Stack: Python - PySpark, PyTorch, HuggingFace | SQL | Azure Data Warehouse & Storage Explorer | Azure Databricks | Azure ML Studio | PowerBI | Amazon Redshift | Amazon S3 & EC2 | Kubeflow | Amazon Sagemaker | Tableau | IBM SPSS Statistics | IBM ILOG CPLEX | Hive Metastore | Hive SQL |
Gm Financial
View- Website:
- gmfinancial.com
- Employees:
- 7060
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Data ScientistGm Financial Jan 2022 - PresentFort Worth, Texas, United StatesCurrently working in their remarketing team in analyzing and pricing for the resale of previously leased or loaned vehicles from General Motors to consumers and dealers across North American continent. o Engineered a sales monitoring tool by designing inference models that assess marginal effects. This initiative is on track to boost profits by improving current production models through rigorous A/B testing and full factorial experiments.o Spearheaded the development of an analytical dashboard utilizing Power BI to equip the team with detailed market trends.o Translated analytical findings into compelling narratives for executive presentations, thereby supporting strategic planning and decision-making.o Partnered with data engineering team to migrate into Databricks from Kubeflow, which includes database transitions, creating and validating ETL pipelines, rewriting utility programs using PySpark, strategizing data lake and data warehouses.o Created and deployed functioning data processing pipelines that deal with transformation, preparation, and basic analysis.
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Data ScientistEaton Jan 2019 - Apr 2019County Dublin, IrelandWorked at their Center for Intelligent Power in application of machine learning, statistics, and analytic approaches to solve critical enterprise-level business problem, and turn their large volumes of data into valuable, actionable insights.o Collaborated closely with business stakeholders and engineering teams to pinpoint process inefficiencies and develop robust data science solutions tailored to address and support business requirements.o Delivered a series of demonstrations of showcasing potential enhancements and future applications that can be brought out by machine learning models to improve their operational processes.o Developed time series analysis and a short-term demand forecasting model using barometric forecasting and trend projection to accurately estimate the demand of over 400,000 manufacturing parts. -
Research Data EngineerInsight Centre For Data Analytics Dec 2017 - Dec 2018County Dublin, IrelandWorked under ‘Pace-Man’ iOS startup app which is a marathon time prediction, in-race pacing, and training recommendation application designed for running enthusiasts, funded by Enterprise Ireland.o Designed a pace recommendation algorithm using collaborative filtering system based on runners with similar pacing which aided in comfortable marathon completion by nudging for an ideal pace at selected intervals of the race.o Performed data mining and data engineering by integrating semi-structured and unstructured data like runner pace, cadence, heart rate, road gradient etc. to create a race profile and provided key analytical insights to drive the app development. o Predicted marathon finish times with high accuracy in the first quarter of the race by primarily using the XGBoost model.o Implemented cohort analysis to understand the app usage by the runners during the 20-week window approaching the marathon and thereby estimating the user satisfaction through various stages of their lifecycle.o Developed structure and rules for the backend integrated Firebase database to log real time race and runner information.o Performed market analysis and organized seminars in running groups to determine potential opportunities for innovation. o Drafted invention disclosure documents that were instrumental in securing intellectual property and patent rights. -
Quality Assurance & Data AnalystAdp Jun 2014 - Aug 2016Hyderabad Area, IndiaWorked under the Time & Attendance module of a core human resource management product, ‘ADP Workforce Now’. The company is a leading global provider of human capital management software and solutions.o Saved over 30 hours a PI by automating data validation and feature testing protocols for high-traffic webpages and reports.o Resolved user issues in a record-setting time for three consecutive quarters by partnering with a globally distributed agile scrum team to deliver quantitative analytical triage support.o Performed pattern recognition and risk assessment to enhance the software using advanced SQL querying and visualization.o Was at the forefront to deliver data-driven insights that enhanced project clarity and direction when provided with complex functional and technical queries.o Established internal KPIs to measure effectiveness of several business decisions and helped support them with strong infographics and reports.o Trained over 30 interns and contractors on the payroll application and functionalities. -
Industrial TraineeBharat Heavy Electricals Limited May 2013 - Jun 2013Hyderabad Area, IndiaInitiating with the basic structure of CNC and PLC, a deep study has been made about the functioning of it and its role in the interaction between the CNC system with the machine tool. An insight into various features of the CNC and PLC system has been dealt in the context of machine tool applications and various machine operations.Also dealt with testing and commissioning of the control system.Additionally, efforts have been made to deal effectively with the SEIMENS PLC for all the CNC Drilling/Milling/Turning Machines.A project report titled "Study and programming of PLC on a CNC machine" was submitted as a part of the internship. -
TraineeHp Oct 2012 - Dec 2012Hyderabad Area, IndiaSelected along with 9 other students among 600 students for a training in Project & Operation Processes.Briefed on the 5 process groups and 10 knowledge areas.Underwent a training program on Information Technology Infrastructure Library(ITIL). The training included important concepts as -1. Service Strategy2. Service Design3. Service Transition4. Service Operation5. Continuous Service Improvement
Haritha Vellampalli Skills
Haritha Vellampalli Education Details
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Data Analytics -
Big Data Analytics And Optimisation -
Electronics And Communication
Frequently Asked Questions about Haritha Vellampalli
What company does Haritha Vellampalli work for?
Haritha Vellampalli works for Gm Financial
What is Haritha Vellampalli's role at the current company?
Haritha Vellampalli's current role is Data Scientist | Machine Learning, Deep Learning, Analytics.
What schools did Haritha Vellampalli attend?
Haritha Vellampalli attended The University Of Texas At Dallas, Dublin Institute Of Technology, International School Of Engineering (Insofe), Gitam University, Hyderabad.
What skills is Haritha Vellampalli known for?
Haritha Vellampalli has skills like Data Analytics, Big Data, Data Mining, Hadoop, Decision Modeling, Text Mining, Social Network Analysis, Natural Language Processing, Machine Learning, Optimization, Decision Analysis, Selenium.
Who are Haritha Vellampalli's colleagues?
Haritha Vellampalli's colleagues are Alejandra Bohorquez, Martha Kenny-Marks, Kim Sims, Geraldo E. Hachiya, Jenny Hammer, Cesar Quinones, Damian Masztalerz.
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